Update app.py

app.py

@@ -27,9 +27,9 @@ if uploaded_image:
 
     # Check if the user clicks a button
     if st.button('Detect Saliency'):
-        # Create a blue background image
+        # Create a blue background image with the same dimensions as the original image
         blue_background = np.zeros_like(np.array(image))
-        blue_background[:] = (0, 0, 255)  # Set the background to blue (in BGR format)
+        blue_background[:] = (255, 0, 0)  # Set the background to blue (in BGR format)
 
         # Preprocess the image
         img = image.resize((384, 288))
@@ -66,7 +66,7 @@ if uploaded_image:
             center_y = int(M["m01"] / M["m00"])
             cv2.putText(label_map, str(i + 1), (center_x, center_y), cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 0, 0), 2, cv2.LINE_AA)
 
-        # Blend the colorized image with the original image
+        # Blend the colorized image with the blue background
         alpha = 0.7  # Adjust the alpha value to control blending strength
         blended_img = cv2.addWeighted(blue_background, 1 - alpha, colorized_img, alpha, 0)